Using our expertise in Earth Observation at Mallon, we are exploring how readily available satellite data can assist in detecting and tracking environmental issues.
Our latest blog examines how Earth Observation (EO) has revolutionised how we detect and monitor crops. Our colleague Micheal Foley compiled the following case study using data captured from the European Space Agency’s (ESA) Sentinel–2 satellite.
Case Study – Rapeseed Crop Detection
With technological advances and the availability of high–resolution satellite imagery, we can now identify and map crop types with greater accuracy and efficiency. EO data can cover large areas quickly and consistently, enabling entire fields to be captured in a matter of minutes. This has allowed farmers to monitor the health of their crops and make informed decisions about irrigation, fertilisation and other management practices.
Analysing crop types using EO data is done by looking at the spectral signature of a field. Through this, numerous different crop types can be identified. The signatures provide information about the crop’s physical and chemical properties, such as its leaf area index, chlorophyll content, and water content. By analysing these properties, we can distinguish between different types of crops.
Rapeseed is one such crop that can be identified by analysing the spectral signatures of a field. Rapeseed is grown primarily for its oil, which is used to produce biofuels and food products. It has become an important crop for farmers around the globe due to its high yield potential and ability to grow in various climatic conditions.
Detecting the presence of Rapeseed is undertaken by thresholding the Normalised Difference Yellowness Index, generated using Sentinel–2 imagery. The presence of yellowness within the land cover indicates the growth of Rapeseed in that area. The following images show how through the use of the Normalised Difference Yellowness Index, we have identified the presence of Rapeseed crops in a host of different countries.
United Kingdom
Ireland
France
Ukraine
What Can We Learn From This?
There is vast potential for Earth Observation to assist farmers in the management and development of their crops. EO data can provide near real–time information that can help farmers adjust their management practices in response to changing conditions, such as drought or pest infestations. By using EO data, farmers have the potential to improve their crop yields and reduce the environmental impacts of agriculture.
Beyond the farm, crop detection can be important for other reasons. Exposure to Rapeseed pollen has been shown to trigger certain respiratory allergies in both humans and horses. The ease with which EO data can identify Rapeseed crop growth makes it an important tool for policymakers when considering the location of public services, housing or the best sites for animal rearing.
Further Information
Please get in touch with us below for further information on the methods used in this case study or to enquire about our Earth Observation services.
